Mohamed Tarek, Ahmed Ashraf, Mahmoud Heidar, Essam Eliwa
{"title":"Review of Programming Assignments Automated Assessment Systems","authors":"Mohamed Tarek, Ahmed Ashraf, Mahmoud Heidar, Essam Eliwa","doi":"10.1109/MIUCC55081.2022.9781736","DOIUrl":"https://doi.org/10.1109/MIUCC55081.2022.9781736","url":null,"abstract":"Programming has become a high-demand skill in recent years. Practising programming boosts problem-solving and logic skills. Diverse degrees, including Computer science and Engineering, require students to learn programming through continuous practice. Every semester, the lack of appropriate programming abilities may lead to failure or dropping out. Becoming a good programmer needs adequate supervision and frequent practice with programming activities. Instructors' roles in developing students' learning skills are critical in offering feedback on faults and increasing students' knowledge accordingly. Due to the increasing number of learners, teachers are overburdened with giving adequate, quick, and individualised feedback. To solve these challenges, researchers have created several Automatic Assessment (AA) systems that analyse students' programs and offer rapid feedback on faults, reducing teachers' burden. This paper gives a detailed analysis of several existing systems and the associated success factors.","PeriodicalId":105666,"journal":{"name":"2022 2nd International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122343084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Review of Electronic Tongue for Liquid Classification","authors":"Salma Mohamed, Shadwa Khaled, Maha Dahshan, Bassant Mohamed, Mostafa Badr, Khaled Hussein","doi":"10.1109/MIUCC55081.2022.9781690","DOIUrl":"https://doi.org/10.1109/MIUCC55081.2022.9781690","url":null,"abstract":"The electronic tongue (E-Tongue) is a novel technology that is used for the taste evaluation of foods. A human taste is determined by the interactions of five basic tastes. Electronic tongues aim to discriminate, analyze, and beverages food. They are well known as sensing technologies that greatly contribute to quality management. Electronic tongues are a new, promising technology that has already proven to be a useful tool for assessing and predicting the taste of beverages and associated items. The main idea of the electronic tongue system is to study the tastes of the tongue and classify the liquids according to their sourness, acidity, and other tastes. Liquids will be tested in different concentrations to be classified with high accuracy. Some algorithms would be used to measure the accuracy such as Support Vector Machine (SVM), and Random Forest (RF). Also, deep learning algorithms would be used as Multi-layer Perceptron (MLPs).","PeriodicalId":105666,"journal":{"name":"2022 2nd International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129179791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"MIUCC-22 List of Reviewers","authors":"","doi":"10.1109/miucc55081.2022.9781723","DOIUrl":"https://doi.org/10.1109/miucc55081.2022.9781723","url":null,"abstract":"","PeriodicalId":105666,"journal":{"name":"2022 2nd International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115437128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fruit Disease's Identification and Classification Using Deep Learning Model","authors":"Mohammed Ahmed Matboli, Ayman Atia","doi":"10.1109/MIUCC55081.2022.9781688","DOIUrl":"https://doi.org/10.1109/MIUCC55081.2022.9781688","url":null,"abstract":"Now days Fruits is being produced from alot of countries as the global fruit production reached up to 2914.27 production in thousand metric tons and in the upcoming years a lot of countries want to increase the production. However, some challenges and problems persist to exist through the fruits production like the quality of the fruit, the cost of the production, the quality of the seed and the illness of the fruit itself. There are types of recognized Diseases in the apples such as blotch, scab, and rotten diseases, and for the citrus, Black spot, Scab Citrus, and Citrus Canker. In this project, Our aim is to identify the best transfer learning model that is able to achieve the most extraordinary accuracy through the early detection of fruit diseases. Five different types of transfer learning models are presented, and they are being used in this proposed solution as the customized CNN model achieved the highest accuracy that reached up to 99.16%.","PeriodicalId":105666,"journal":{"name":"2022 2nd International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130903306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abdelrahman Mahmoud Saber, Mohamed Tallat Hassan, Moataz Soliman Mohamed, Rahma ELHusseiny, Yasser Muhammed Eltaher, Mohammed AbdelRazek, Yasser Moustafa Kamal Omar
{"title":"DeepFake Video Detection","authors":"Abdelrahman Mahmoud Saber, Mohamed Tallat Hassan, Moataz Soliman Mohamed, Rahma ELHusseiny, Yasser Muhammed Eltaher, Mohammed AbdelRazek, Yasser Moustafa Kamal Omar","doi":"10.1109/MIUCC55081.2022.9781791","DOIUrl":"https://doi.org/10.1109/MIUCC55081.2022.9781791","url":null,"abstract":"Recently, deepfake face-swapping techniques are widely used, which allow to easily create buinesslike fake videos. Determining the rightfulness of a video is becoming increasingly important due to the potential distructive impact it can have on the world. we used more than technique and compared between them to detect fake videos. we applied different techniques like YOLO-CRNN, LSTM and in this paper, we compared between them in some techniques EfficientNet-B5 is used to pluck out the spatial options of those faces they are fed as a batch of input series into a two-way long- and short-term memory (BiLSTM) to extract temporal characteristics. The scheme is then tested on a a huge new dataset in; CelebDFFaceForencics++ (c23), based on a mash-up of two well-known records; FaceForencies++ (c23) and CelebDF. Achieved Area Under Receiver Operating Characteristic (AUROC) curve 89.35% result, 89.38 accuracy, 83.13% recovery, 85.54% accuracy and 84.23 F1-measure to insert data focus.","PeriodicalId":105666,"journal":{"name":"2022 2nd International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134270791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}